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5 results for “BioID”
Huntingtin construct design for BioID 2018/04/02
<p>Huntingtin structure-function open lab notebook project. Huntingtin construct design for BioID 2018/04/02.</p>
Analysis of Huntingtin BioID Datasets 2019/04/09
<p><strong>Project: </strong>Investigation of putative HTT interacting proteins</p> <p><strong>Experiment: </strong>Analysis of HTT BioID datasets </p> <p><strong>Date completed:­ </strong>2019/04/09</p> <p><strong>Rationale: </strong>BioID technology employs a promiscuous biotin ligase (BirA) fused to the terminus of the target protein, huntingtin, allowing proximal proteins to be biotinylated and then subsequently identified through mass spectrometry experiments. This technique has not been applied to assess huntingtin interactors to date in the published literature, so will provide a novel methodology to characterize the huntingtin interactome. As huntingtin is a large protein molecule and the precise location of the N and C-termini remain unresolved due to their flexible nature, both N and C terminally BirA-tagged constructs for full-length huntingtin will be generated for overexpression as well as a truncated construct spanning amino acids 80-3100, the region of the protein resolved in the recent cryo-electron microscopy structure which omits the flexible termini. Huntingtin fusion proteins will be overexpressed in cells subjected to different ROS stresses as well as control conditions. Resultant cell lysates will be analysed through collaboration with Prof. Anne-Claude Gingras (Lunenfeld Tanenbaum Research Institute, University of Toronto). From this work, we hope to obtain a list of putative huntingtin interactors which will be compared to previously published findings and assessed for stable complex formation with huntingtin</p>
Subset of BioID dataset (https://www.bioid.com/facedb/) used for image denoising benchmark as used in DivNoising paper (https://arxiv.org/abs/2006.06072)
<p>The original BioID dataset comes from https://www.bioid.com/facedb/. </p> <p>A subset of original BioID dataset was used for image denoising benchmark (corrupted with zero mean Gaussian noise of std 15) as in DivNoising paper (https://arxiv.org/abs/2006.06072)</p>
BioID-Esrrg Overexpresssion in SH-SY5Ys [H202SC21031899]
GEO Series GSE198215. Homo sapiens. 8 samples. Type: Expression profiling by high throughput sequencing.
BioID data from "A dual function of TMEM70 in OXPHOS: assembly of complexes I and V"
<p>Mass spec data from BioID experiments performed in "A dual function of TMEM70 in OXPHOS: assembly of complexes I and V". For detailed information see Materials and Methods <a href="https://www.biorxiv.org/content/10.1101/697185v3">https://www.biorxiv.org/content/10.1101/697185v3</a></p> <p> </p> <p>Sample name doxycycline biotin sample replicate</p> <p>20161216_MvdB_Sample01_1.raw + - 1 1</p> <p>20161216_MvdB_Sample01_2.raw + - 1 2</p> <p>20161216_MvdB_Sample01_3.raw + - 1 3</p> <p>20161216_MvdB_Sample02_1.raw + + 2 1</p> <p>20161216_MvdB_Sample02_2.raw + + 2 2</p> <p>20161216_MvdB_Sample02_3.raw + + 2 3</p> <p>20170224_MvdB_Sample09_1.raw + - 3 1</p> <p>20170224_MvdB_Sample09_2.raw + - 3 2</p> <p>20170224_MvdB_Sample09_3.raw + - 3 3</p> <p>20170224_MvdB_Sample10_1.raw + + 4 1</p> <p>20170224_MvdB_Sample10_2.raw + + 4 2</p> <p>20170224_MvdB_Sample10_3.raw + + 4 3</p> <p>20170314_FH_MB_sample07_m1.raw - + 5 1</p> <p>20170314_FH_MB_sample07_m2.raw - + 5 2</p> <p>20170314_FH_MB_sample07_m3.raw - + 5 3</p> <p>20170314_FH_MB_sample08_m1.raw + + 6 1</p> <p>20170314_FH_MB_sample08_m2.raw + + 6 2</p> <p>20170314_FH_MB_sample08_m3.raw + + 6 3</p>
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